Literature DB >> 34547133

Automated insulin dosing systems: Advances after a century of insulin.

Hood Thabit1,2, Rayhan Lal3,4, Lalantha Leelarathna1,2.   

Abstract

The daily complexities of insulin therapy and glucose variability in type 1 diabetes still pose significant challenges, despite advancements in modern insulin analogues. Minimising hypoglycaemia and optimising time spent within target glucose range are recommended to reduce the risk of diabetes-related complications and distress. Access to structured education and adjuvant diabetes technologies, such as insulin pumps and glucose sensors, are recommended by National Institute for Health and Care Excellence (NICE) to enable people with type 1 diabetes achieve their glycaemic goals. One hundred years after the discovery of insulin, automated insulin dosing (AID, a.k.a. closed loop or artificial pancreas) systems are a reality with a number of systems available and being used in usual clinical practice. Evidence from randomised clinical trials and real-world prospective studies support efficacy, effectiveness and safety of AID systems. Qualitative evaluations reveal treatment satisfaction and positive effects on quality of life. Current insulin-only AID systems still require carbohydrate and activity announcement (hybrid closed loop) due to the inherent pharmacokinetic limitations of rapid-acting insulin analogies. Ultra-rapid acting insulin and adjunctive use of other therapies (e.g. glucagon, pramlitide) are being evaluated to achieve full closed loop. Open-source AID (OS-AID) systems have been developed by the diabetes community, driven by a desire for safety and to accelerate technological advancement. In addition to effectiveness and safety, real-world prospective studies suggest that OS-AID systems fulfil unmet needs of commercially approved systems. The development, ongoing challenges and expectations of AID are outlined in this review.
© 2021 Diabetes UK.

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Year:  2021        PMID: 34547133      PMCID: PMC8763058          DOI: 10.1111/dme.14695

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  47 in total

Review 1.  Automated Insulin Delivery in Adults.

Authors:  Charlotte K Boughton; Roman Hovorka
Journal:  Endocrinol Metab Clin North Am       Date:  2019-12-16       Impact factor: 4.741

2.  Circadian variability of insulin sensitivity: physiological input for in silico artificial pancreas.

Authors:  Roberto Visentin; Chiara Dalla Man; Yogish C Kudva; Ananda Basu; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2015-01       Impact factor: 6.118

3.  Safety of a Hybrid Closed-Loop Insulin Delivery System in Patients With Type 1 Diabetes.

Authors:  Richard M Bergenstal; Satish Garg; Stuart A Weinzimer; Bruce A Buckingham; Bruce W Bode; William V Tamborlane; Francine R Kaufman
Journal:  JAMA       Date:  2016-10-04       Impact factor: 56.272

4.  Performance of a Factory-Calibrated Real-Time Continuous Glucose Monitoring System Utilizing an Automated Sensor Applicator.

Authors:  Viral N Shah; Lori M Laffel; R Paul Wadwa; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06       Impact factor: 6.118

5.  Home Use of Day-and-Night Hybrid Closed-Loop Insulin Delivery in Very Young Children: A Multicenter, 3-Week, Randomized Trial.

Authors:  Martin Tauschmann; Janet M Allen; Katrin Nagl; Maria Fritsch; James Yong; Emily Metcalfe; Dominique Schaeffer; Muriel Fichelle; Ulrike Schierloh; Alena G Thiele; Daniela Abt; Harald Kojzar; Julia K Mader; Sonja Slegtenhorst; Nicole Barber; Malgorzata E Wilinska; Charlotte Boughton; Gianluca Musolino; Judy Sibayan; Nathan Cohen; Craig Kollman; Sabine E Hofer; Elke Fröhlich-Reiterer; Thomas M Kapellen; Carlo L Acerini; Carine de Beaufort; Fiona Campbell; Birgit Rami-Merhar; Roman Hovorka
Journal:  Diabetes Care       Date:  2019-01-28       Impact factor: 19.112

6.  Daily stress and glycaemic control in Type 1 diabetes: individual differences in magnitude, direction, and timing of stress-reactivity.

Authors:  Afsane Riazi; John Pickup; Clare Bradley
Journal:  Diabetes Res Clin Pract       Date:  2004-12       Impact factor: 5.602

7.  Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial.

Authors:  Roman Hovorka; Janet M Allen; Daniela Elleri; Ludovic J Chassin; Julie Harris; Dongyuan Xing; Craig Kollman; Tomas Hovorka; Anne Mette F Larsen; Marianna Nodale; Alessandra De Palma; Malgorzata E Wilinska; Carlo L Acerini; David B Dunger
Journal:  Lancet       Date:  2010-02-04       Impact factor: 79.321

8.  Accuracy of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System During 10 Days of Use in Youth and Adults with Diabetes.

Authors:  R Paul Wadwa; Lori M Laffel; Viral N Shah; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118

9.  Glucose Outcomes with the In-Home Use of a Hybrid Closed-Loop Insulin Delivery System in Adolescents and Adults with Type 1 Diabetes.

Authors:  Satish K Garg; Stuart A Weinzimer; William V Tamborlane; Bruce A Buckingham; Bruce W Bode; Timothy S Bailey; Ronald L Brazg; Jacob Ilany; Robert H Slover; Stacey M Anderson; Richard M Bergenstal; Benyamin Grosman; Anirban Roy; Toni L Cordero; John Shin; Scott W Lee; Francine R Kaufman
Journal:  Diabetes Technol Ther       Date:  2017-01-30       Impact factor: 6.118

10.  Full closed loop open-source algorithm performance comparison in pigs with diabetes.

Authors:  Rayhan A Lal; Caitlin L Maikawa; Dana Lewis; Sam W Baker; Anton A A Smith; Gillie A Roth; Emily C Gale; Lyndsay M Stapleton; Joseph L Mann; Anthony C Yu; Santiago Correa; Abigail K Grosskopf; Celine S Liong; Catherine M Meis; Doreen Chan; Joseph P Garner; David M Maahs; Bruce A Buckingham; Eric A Appel
Journal:  Clin Transl Med       Date:  2021-04
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